Summary
Yu-lun Tsao is a data analyst with 13 years of cross-functional experience applying Python, SQL, R, SAS, and PySpark to drive product and business insights across e-commerce, fintech, and ad-tech. Currently at ByteDance, he combines machine learning and computer vision experience (managing OCR and CV model pipelines) with practical BI delivery from his Shopee tenure where he redesigned ETL and reporting for fraud and operations. He holds an MITB (Analytics) from Singapore Management University and a master’s in economics from National Taiwan University, blending strong quantitative foundations with business-facing analytics. A permanent Singapore resident based in Shenzhen, he moves comfortably between model development and production dashboards, improving scalability by translating scripts into SQL-backed pipelines. Notably, his background spans both algorithm optimization and regional operations BI, giving him uncommon fluency in the full analytics lifecycle from model training to access-controlled dashboards.
13 years of coding experience
4 years of employment as a software developer
Economic, Economic at National Taiwan University
Master of IT in Business (MITB)(Analytics), Master of IT in Business (MITB)(Analytics) at Singapore Management University
Chinese, English